SA
Silicon Agents Console
Executive Brief for verification-first semiconductor AI
Checking demo readiness
Agentic AI for chip workflows

Silicon Agents

A verification workflow copilot that converts raw coverage reports and regression logs into ranked, evidence-grounded next actions. The product wedge is designed for the most expensive bottleneck in fabless engineering organizations: deciding what to investigate next under schedule pressure.

Silicon Agents sits above existing EDA flows. It does not replace VCS, Xcelium, or human review. It reduces the manual cognitive effort between “report generated” and “engineering action chosen.”

Initial wedge
Agent 01
Coverage closure and regression triage for verification teams approaching tapeout.
Buyer story
Faster review
Shorten first-pass report analysis without changing simulator, testbench, or approval flow.
Trust posture
Human in loop
Every recommendation remains evidence-grounded, ranked, and explicitly approved by engineers.
Problem
Verification bottleneck Human review preserved Tool-agnostic wedge
  • Verification teams spend disproportionate time reading reports before they can act on them.
  • Most schedule pain is not lack of raw data. It is the delay between artifact generation and confident prioritization.
  • What teams need is not more AI prose, but a defensible next-action queue with evidence and review control.
Product Proof
  • Coverage report parsing with explicit finding traceability
  • Regression triage clustered into engineering investigation paths
  • Ranked actions with evidence, confidence, and human approval controls
  • Benchmark scorecard built into Agent 01 for repeatable sponsor demos
Adoption Path
  • Sanitized real-world verification artifacts from partner teams
  • Measured time saved in coverage review and regression triage
  • Workflow export into Jira, Confluence, or engineering review systems
  • Feedback loop that captures what engineers actually accept or reject
Executive Scoreboard

This prototype now includes measurable proof signals instead of a purely visual demo. The benchmark suite evaluates whether Agent 01 surfaces the expected findings, ranks the first action correctly, and includes artifact evidence in each recommendation.

Benchmark artifacts
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Repeatable verification artifacts bundled for sponsor-safe evaluation.
Workflow modes
2
Coverage closure and regression triage in the current Agent 01 wedge.
Trust controls
Evidence + approval
Recommendations are visible, ranked, cited, and accepted or rejected by humans.
Demo state
Checking
Verifying API availability and benchmark route readiness.
Pilot Path

The strongest next proof is a limited verification pilot with sanitized artifacts and a measured review-time study.

1. Ingest partner artifacts Use sanitized VCS/Xcelium coverage reports and regression logs from a real project slice.
2. Score assisted vs manual review Measure time to first ranked action and compare against baseline first-pass review effort.
3. Capture accept and reject outcomes Build a data-backed case around correctness, actionability, and trustworthiness.
Business Framing
  • For engineering leaders: reduce expensive senior-review time spent scanning raw outputs before action can begin.
  • For delivery partners: position a semiconductor AI layer that augments existing flows instead of requiring workflow replacement.
  • For sponsors: create a realistic wedge into fabless design programs where verification consumes the most schedule pressure.
Roadmap Boundary
  • Now: verification workflow copilot with benchmark-backed demo proof.
  • Next: export, auth, and pilot instrumentation for sponsor and client teams.
  • Later: Agent 02 yield intelligence as a second workflow family built on the same orchestration core.
Latest Runs

A quick leadership view of recent activity across Agent 01 and Agent 02. This shows live traction from persisted runs, scorecards, feedback, and workflow exports rather than only UI screenshots.

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Fetching recent run telemetry from the local audit store.